Analytics Engineer
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Aug 26, 2026.
At Signal AI, we use cutting-edge AI technology to offer clarity on decisions that shape businesses and society. We value restless curiosity, creative thinking, and diverse perspectives as we strive to become AI-native. We believe that AI is a collaborator, not just a tool, and we invite passionate individuals to join us on our journey as we continue to learn, experiment, and grow together.
About the role - what’s your purpose?
We are looking for an Analytics Engineer to join our Business Analytics team, working closely with Engineering and Commercial & Strategic Solutions to design & build analytical models for both our premium enterprise clients and internal data users, driving impactful business decisions and enabling self-service custom insights.
The role will manage data pipelines, quality, and delivery methods across multiple projects, and own how we craft business logic into unique datasets for each client, whether through a dashboard or a more agentic UI. You’ll work closely with stakeholders to understand and identify the best data for each use case. This role requires strong confidence in managing and optimising data models and processes (with and without LLMs) to ensure data products are flexible, pragmatic, and fit for purpose.
Day-to-Day Responsibilities - What will you be doing?
Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow.
Transforming, analysing & enriching large sets of quantitative and qualitative data.
Creating & maintaining dashboards & artefacts built on top of pipelines in BI tools or via agents, to deliver key business insights.
Testing, unpicking & refining areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs.
Taking ownership of meeting client processes to ensure accuracy and reliability for end users, with strong governance and quality testing.
Collaborating with product managers, engineers, and ops analysts to provide data-driven insights from well-designed data models.
Who are we looking for?
You are confident designing data models, owning semantic layers, and implementing transformation techniques with version control in data pipelines.
You enjoy understanding the business logic behind client use cases and translating them into structured data flows.
You have several years of strong experience with ETL/ELT processes and APIs with tools such as dbt, Airflow, and Talend.
You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server.
You are comfortable working with agents and LLMs both internally and as part of the products.
You are keen to elevate projects from BI dashboards to agentic workflows.
You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
You love building products as part of a cross-functional team, focused on an iterative, outcome-driven approach.
You have strong communication skills and are comfortable expressing your ideas and listening to multiple different audiences.
You have a positive attitude and are keen to learn new skills in order to succeed.
Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role.
We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard-a place where you can truly thrive as yourself.